{"id":"W4248340588","doi":"10.1002/9781118445112.stat05261.pub2","title":"Sensitivity Analysis: Introduction","year":2016,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sensitivity (control systems); Monte Carlo method; Interpretation (philosophy); Computer science; Econometrics; Data mining; Statistics; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1225269,0.003751803,0.004773607,0.006044373,0.001196815,0.006326832,0.003565171,0.004179165,0.05272876],"category_scores_gemma":[0.3681663,0.0011063,0.01016617,0.00606402,0.002877479,0.005050889,0.003940027,0.006411611,0.005650156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005060889,"about_ca_system_score_gemma":0.006162569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002005039,"about_ca_topic_score_gemma":0.001364519,"domain_scores_codex":[0.7409437,0.2208374,0.0113767,0.00749003,0.01774692,0.001605161],"domain_scores_gemma":[0.6350482,0.3086067,0.009864435,0.0190759,0.02665573,0.0007491838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001704667,0.0002590352,0.002241294,0.05816428,0.00788569,0.0004552582,0.001133149,0.06753024,0.00158194,0.4228953,0.1703179,0.2658313],"study_design_scores_gemma":[0.0004133047,0.0007792038,0.001744147,0.02448669,0.002512944,0.0004557365,0.000402955,0.03293383,0.003292289,0.5791659,0.3534886,0.0003243806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005417828,0.04750798,0.7801086,0.02247744,0.009353636,0.02038519,0.02099494,0.001808477,0.09194586],"genre_scores_gemma":[0.2467416,0.03091319,0.5773189,0.02179021,0.006455085,0.07587747,0.007197584,0.00249269,0.03121319],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1225269,"threshold_uncertainty_score":0.6479918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05729887102148126,"score_gpt":0.391421062240089,"score_spread":0.3341221912186078,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}